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Ludwig N, Cucinelli S, Hametner S, Muckenthaler MU, Schirmer L. Iron scavenging and myeloid cell polarization. Trends Immunol 2024; 45:625-638. [PMID: 39054114 DOI: 10.1016/j.it.2024.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 06/25/2024] [Accepted: 06/27/2024] [Indexed: 07/27/2024]
Abstract
Myeloid cells that populate all human organs and blood are a versatile class of innate immune cells. They are crucial for sensing and regulating processes as diverse as tissue homeostasis and inflammation and are frequently characterized by their roles in either regulating or promoting inflammation. Recent studies in cultured cells and mouse models highlight the role of iron in skewing the functional properties of myeloid cells in tissue damage and repair. Here, we review certain emerging concepts on how iron influences and determines myeloid cell polarization in the context of its uptake, storage, and metabolism, including in conditions such as multiple sclerosis (MS), sickle cell disease, and tumors.
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Affiliation(s)
- Natalie Ludwig
- Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Interdisciplinary Center for Neurosciences, Heidelberg University, Heidelberg, Germany
| | - Stefania Cucinelli
- Department of Paediatric Hematology, Oncology, and Immunology, University of Heidelberg, Heidelberg, Germany; Molecular Medicine Partnership Unit (MMPU), European Molecular Biology Laboratory and University of Heidelberg, Heidelberg, Germany
| | - Simon Hametner
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria; Medical Neuroscience Cluster, Medical University of Vienna, Vienna, Austria
| | - Martina U Muckenthaler
- Department of Paediatric Hematology, Oncology, and Immunology, University of Heidelberg, Heidelberg, Germany; Molecular Medicine Partnership Unit (MMPU), European Molecular Biology Laboratory and University of Heidelberg, Heidelberg, Germany; German Centre for Cardiovascular Research (DZHK), Partner site Heidelberg/Mannheim, Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany.
| | - Lucas Schirmer
- Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Interdisciplinary Center for Neurosciences, Heidelberg University, Heidelberg, Germany; Mannheim Center for Translational Neuroscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Mannheim Institute for Innate Immunoscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
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Xie Y, Zhang S, Wu D, Yao Y, Cho J, Lu J, Zhu H, Wang Y, Zhang Y, Zhu W. The changes of oxygen extraction fraction in different types of lesions in relapsing-remitting multiple sclerosis: A cross-sectional and longitudinal study. Neurol Sci 2024; 45:3939-3949. [PMID: 38492126 DOI: 10.1007/s10072-024-07463-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 03/11/2024] [Indexed: 03/18/2024]
Abstract
OBJECTIVES To explore the oxygen metabolism level of different types of lesions in relapsing-remitting multiple sclerosis (RRMS) patients by oxygen extraction fraction (OEF) both cross-sectionally and longitudinally. METHODS Forty-six RRMS patients and forty-one healthy controls (HC) went MRI examination. The quantitative susceptibility mapping (QSM) and OEF map were reconstructed from a 3D multi-echo gradient echo sequence. MS lesions in white matter were classified as contrast-enhancing lesions (CELs) on post-gadolinium T1-weighted sequence, paramagnetic rim lesions (PRLs), hyperintense lesions and non-hyperintense lesions on QSM, respectively. The susceptibility and OEF of different types of lesions were compared. The susceptibility and OEF values were measured and compared among different types of lesions. Among these RRMS patients, seventeen had follow-up MRI and 232 lesions, and baseline to follow-up longitudinal changes in susceptibility and OEF were measured. RESULTS PRLs had higher susceptibility and lower OEF than CELs, hyperintense lesions, and non-hyperintense lesions. The hyperintense lesions had higher susceptibility and lower OEF than non-hyperintense lesions. In longitudinal changes, PRLs had susceptibility increased (P < 0.001) and OEF decreased (P < 0.001). The hyperintense lesions showed significant decreases in susceptibility (P = 0.020), and non-hyperintense lesions showed significant increases in OEF during follow-up (P = 0.005). Notably, hyperintense lesions may convert to PRLs or non-hyperintense lesions as time progresses, accompanied by changes of OEF and susceptibility in the lesions. CONCLUSION This study revealed tissue damage and oxygen metabolism level in different types of MS lesions. The OEF may contribute to further understanding the evolution of MS lesions.
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Affiliation(s)
- Yan Xie
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, People's Republic of China
| | - Shun Zhang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, People's Republic of China
| | - Di Wu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, People's Republic of China
| | - Yihao Yao
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, People's Republic of China
| | - Junghun Cho
- Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA
| | - Jun Lu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, People's Republic of China
| | - Hongquan Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, People's Republic of China
| | - Yi Wang
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
- Department of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Yan Zhang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, People's Republic of China.
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, People's Republic of China.
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Rimkus CDM, Otsuka FS, Nunes DM, Chaim KT, Otaduy MCG. Central Vein Sign and Paramagnetic Rim Lesions: Susceptibility Changes in Brain Tissues and Their Implications for the Study of Multiple Sclerosis Pathology. Diagnostics (Basel) 2024; 14:1362. [PMID: 39001252 PMCID: PMC11240827 DOI: 10.3390/diagnostics14131362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 05/29/2024] [Accepted: 06/03/2024] [Indexed: 07/16/2024] Open
Abstract
Multiple sclerosis (MS) is the most common acquired inflammatory and demyelinating disease in adults. The conventional diagnostic of MS and the follow-up of inflammatory activity is based on the detection of hyperintense foci in T2 and fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) and lesions with brain-blood barrier (BBB) disruption in the central nervous system (CNS) parenchyma. However, T2/FLAIR hyperintense lesions are not specific to MS and the MS pathology and inflammatory processes go far beyond focal lesions and can be independent of BBB disruption. MRI techniques based on the magnetic susceptibility properties of the tissue, such as T2*, susceptibility-weighted images (SWI), and quantitative susceptibility mapping (QSM) offer tools for advanced MS diagnostic, follow-up, and the assessment of more detailed features of MS dynamic pathology. Susceptibility-weighted techniques are sensitive to the paramagnetic components of biological tissues, such as deoxyhemoglobin. This capability enables the visualization of brain parenchymal veins. Consequently, it presents an opportunity to identify veins within the core of multiple sclerosis (MS) lesions, thereby affirming their venocentric characteristics. This advancement significantly enhances the accuracy of the differential diagnostic process. Another important paramagnetic component in biological tissues is iron. In MS, the dynamic trafficking of iron between different cells, such as oligodendrocytes, astrocytes, and microglia, enables the study of different stages of demyelination and remyelination. Furthermore, the accumulation of iron in activated microglia serves as an indicator of latent inflammatory activity in chronic MS lesions, termed paramagnetic rim lesions (PRLs). PRLs have been correlated with disease progression and degenerative processes, underscoring their significance in MS pathology. This review will elucidate the underlying physical principles of magnetic susceptibility and their implications for the formation and interpretation of T2*, SWI, and QSM sequences. Additionally, it will explore their applications in multiple sclerosis (MS), particularly in detecting the central vein sign (CVS) and PRLs, and assessing iron metabolism. Furthermore, the review will discuss their role in advancing early and precise MS diagnosis and prognostic evaluation, as well as their utility in studying chronic active inflammation and degenerative processes.
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Affiliation(s)
- Carolina de Medeiros Rimkus
- Department of Radiology and Oncology, Hospital das Clínicas da Faculdade de Medicina da Universidade de Sao Paulo (HCFMUSP), Sao Paulo 05403-010, SP, Brazil
- Laboratory of Medical Investigation in Magnetic Resonance-44 (LIM 44), University of Sao Paulo, Sao Paulo 05403-000, SP, Brazil
- MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Location VUmc, 1081 HV Amsterdam, The Netherlands
- Instituto D'Or de Ensino e Pesquisa (IDOR), Sao Paulo 01401-002, SP, Brazil
| | - Fábio Seiji Otsuka
- Laboratory of Medical Investigation in Magnetic Resonance-44 (LIM 44), University of Sao Paulo, Sao Paulo 05403-000, SP, Brazil
| | - Douglas Mendes Nunes
- Department of Radiology and Oncology, Hospital das Clínicas da Faculdade de Medicina da Universidade de Sao Paulo (HCFMUSP), Sao Paulo 05403-010, SP, Brazil
- Grupo Fleury, Sao Paulo 04701-200, SP, Brazil
| | - Khallil Taverna Chaim
- Laboratory of Medical Investigation in Magnetic Resonance-44 (LIM 44), University of Sao Paulo, Sao Paulo 05403-000, SP, Brazil
| | - Maria Concepción Garcia Otaduy
- Department of Radiology and Oncology, Hospital das Clínicas da Faculdade de Medicina da Universidade de Sao Paulo (HCFMUSP), Sao Paulo 05403-010, SP, Brazil
- Laboratory of Medical Investigation in Magnetic Resonance-44 (LIM 44), University of Sao Paulo, Sao Paulo 05403-000, SP, Brazil
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Vanheule E, Cambron M, Dobai A, Casselman JW. Rim lesions in MS at 3T: clinical correlation and possible radiological alternatives for daily practice at lower field strength. J Neuroradiol 2024; 51:101165. [PMID: 37907156 DOI: 10.1016/j.neurad.2023.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 10/28/2023] [Indexed: 11/02/2023]
Abstract
BACKGROUND AND PURPOSE Paramagnetic rim lesions (PRLs) have been described as an imaging feature specific to multiple sclerosis (MS) using high-field strength phase-sensitive MR imaging. These lesions are suggested to reflect chronic active inflammation associated with greater disease severity and a more rapid disability progression. The aim of our study is to investigate the relationship between PRLs, clinical parameters, other radiological findings and disease progression. MATERIAL AND METHODS This cross-sectional study included MS patients treated with teriflunomide, fingolimod, natalizumab or ocrelizumab for at least 2 years. PRLs seen at 3T MRI were analysed and correlated with clinical data and radiological progression, defined as an increase of the T2/FLAIR-lesion load during therapy. In the search for alternatives for these PRLs, we defined two additional radiological markers: 'FLAIR-bullet lesions', and on post-contrast black-blood (BB) images, 'BB-bullet lesions'. RESULTS We included 84 MS patients of whom 27 (32 %) had at least 1 PRL. PRLs were associated with radiological progression under therapy (p=0.039) and higher clinical disability scores, although only significant for 9-Hole Peg Test (p=0.023). Patients with FLAIR-bullet or BB-bullet lesions at 3T MRI had a higher chance of PRL (p<0.001) with a likelihood ratio of 13.2 for FLAIR-bullets and 12.6 for BB-bullet lesions, thanks to the high negative predictive value of respectively 83 % and 90 %. CONCLUSION PRLs are associated with an increase of T2/FLAIR-lesion load under therapy and unfavourable clinical outcome. Our newly defined 'bullet lesions' are associated with PRLs and might be an interesting MRI marker for centres without access to high-field SWI images.
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Affiliation(s)
- Eva Vanheule
- Department of Radiology, AZ Sint-Jan Brugge-Oostende, Campus Brugge, Ruddershove 10, Bruges 8000, Belgium.
| | - Melissa Cambron
- Department of Neurology, AZ Sint-Jan Brugge-Oostende, Campus Brugge, Ruddershove 10, Bruges 8000, Belgium
| | - Adrienn Dobai
- Department of Oral Diagnostics, Faculty of Dentistry, Semmelweis University, Szentkirályi u. 47, Budapest, 1088, Hungary; Department of Neuroradiology, Medical Imaging Centre, Semmelweis University, Balassa street 6, Budapest, 1083, Hungary
| | - Jan W Casselman
- Department of Radiology, AZ Sint-Jan Brugge-Oostende, Campus Brugge, Ruddershove 10, Bruges 8000, Belgium; Department of Diagnostic Radiology, Dalhousie University, Halifax, Nova Scotia, Canada
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Voon CC, Wiltgen T, Wiestler B, Schlaeger S, Mühlau M. Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis. Neuroimage Clin 2024; 42:103598. [PMID: 38582068 PMCID: PMC11002889 DOI: 10.1016/j.nicl.2024.103598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 03/07/2024] [Accepted: 03/24/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Quantitative susceptibility mapping (QSM) is a quantitative measure based on magnetic resonance imaging sensitive to iron and myelin content. This makes QSM a promising non-invasive tool for multiple sclerosis (MS) in research and clinical practice. OBJECTIVE We performed a systematic review and meta-analysis on the use of QSM in MS. METHODS Our review was prospectively registered on PROSPERO (CRD42022309563). We searched five databases for studies published between inception and 30th April 2023. We identified 83 English peer-reviewed studies that applied QSM images on MS cohorts. Fifty-five included studies had at least one of the following outcome measures: deep grey matter QSM values in MS, either compared to healthy controls (HC) (k = 13) or correlated with the score on the Expanded Disability Status Scale (EDSS) (k = 7), QSM lesion characteristics (k = 22) and their clinical correlates (k = 17), longitudinal correlates (k = 11), histological correlates (k = 7), or correlates with other imaging techniques (k = 12). Two meta-analyses on deep grey matter (DGM) susceptibility data were performed, while the remaining findings could only be analyzed descriptively. RESULTS After outlier removal, meta-analyses demonstrated a significant increase in the basal ganglia susceptibility (QSM values) in MS compared to HC, caudate (k = 9, standardized mean difference (SDM) = 0.54, 95 % CI = 0.39-0.70, I2 = 46 %), putamen (k = 9, SDM = 0.38, 95 % CI = 0.19-0.57, I2 = 59 %), and globus pallidus (k = 9, SDM = 0.48, 95 % CI = 0.28-0.67, I2 = 60 %), whereas thalamic QSM values exhibited a significant reduction (k = 12, SDM = -0.39, 95 % CI = -0.66--0.12, I2 = 84 %); these susceptibility differences in MS were independent of age. Further, putamen QSM values positively correlated with EDSS (k = 4, r = 0.36, 95 % CI = 0.16-0.53, I2 = 0 %). Regarding rim lesions, four out of seven studies, representing 73 % of all patients, reported rim lesions to be associated with more severe disability. Moreover, lesion development from initial detection to the inactive stage is paralleled by increasing, plateauing (after about two years), and gradually decreasing QSM values, respectively. Only one longitudinal study provided clinical outcome measures and found no association. Histological data suggest iron content to be the primary source of QSM values in DGM and at the edges of rim lesions; further, when also considering data from myelin water imaging, the decrease of myelin is likely to drive the increase of QSM values within WM lesions. CONCLUSIONS We could provide meta-analytic evidence for DGM susceptibility changes in MS compared to HC; basal ganglia susceptibility is increased and, in the putamen, associated with disability, while thalamic susceptibility is decreased. Beyond these findings, further investigations are necessary to establish the role of QSM in MS for research or even clinical routine.
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Affiliation(s)
- Cui Ci Voon
- Dept. of Neurology, School of Medicine and Health, Technical University of Munich, Munich, Germany; TUM-Neuroimaging Center, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Tun Wiltgen
- Dept. of Neurology, School of Medicine and Health, Technical University of Munich, Munich, Germany; TUM-Neuroimaging Center, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Benedikt Wiestler
- Dept. of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Sarah Schlaeger
- Dept. of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Mark Mühlau
- Dept. of Neurology, School of Medicine and Health, Technical University of Munich, Munich, Germany; TUM-Neuroimaging Center, School of Medicine and Health, Technical University of Munich, Munich, Germany.
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Tang C, Yang J, Zhu C, Ding Y, Yang S, Xu B, He D. Iron metabolism disorder and multiple sclerosis: a comprehensive analysis. Front Immunol 2024; 15:1376838. [PMID: 38590521 PMCID: PMC11000231 DOI: 10.3389/fimmu.2024.1376838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 03/04/2024] [Indexed: 04/10/2024] Open
Abstract
Background Multiple sclerosis (MS) is the most common chronic inflammatory disease of the central nervous system. Currently, the pathological mechanisms of MS are not fully understood, but research has suggested that iron metabolism disorder may be associated with the onset and clinical manifestations of MS. Methods and materials The study utilized publicly available databases and bioinformatics techniques for gene expression data analysis, including differential expression analysis, weighted correlation network analysis, gene enrichment analysis, and construction of logistic regression models. Subsequently, Mendelian randomization was used to assess the causal relationship between different iron metabolism markers and MS. Results This study identified IREB2, LAMP2, ISCU, ATP6V1G1, ATP13A2, and SKP1 as genes associated with multiple sclerosis (MS) and iron metabolism, establishing their multi-gene diagnostic value for MS with an AUC of 0.83. Additionally, Mendelian randomization analysis revealed a potential causal relationship between transferrin saturation and MS (p=2.22E-02; OR 95%CI=0.86 (0.75, 0.98)), as well as serum transferrin and MS (p=2.18E-04; OR 95%CI=1.22 (1.10, 1.36)). Conclusion This study comprehensively explored the relationship between iron metabolism and MS through integrated bioinformatics analysis and Mendelian randomization methods. The findings provide important insights for further research into the role of iron metabolism disorder in the pathogenesis of MS and offer crucial theoretical support for the treatment of MS.
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Affiliation(s)
- Chao Tang
- Department of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Jiaxin Yang
- School of Clinical Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Chaomin Zhu
- School of Clinical Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Yaqi Ding
- Department of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Sushuang Yang
- Department of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Bingyang Xu
- School of Clinical Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Dian He
- Department of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
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Tan H, Li X, Li Y, He F, ZhangBao J, Zhou L, Yang L, Zhao C, Lu C, Dong Q, Li H, Quan C. Real-world experience of teriflunomide in relapsing multiple sclerosis: paramagnetic rim lesions may play a role. Front Immunol 2024; 15:1343531. [PMID: 38558796 PMCID: PMC10979358 DOI: 10.3389/fimmu.2024.1343531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 02/26/2024] [Indexed: 04/04/2024] Open
Abstract
Objectives The aims of this study were to report the effectiveness and safety of teriflunomide in Chinese patients with relapsing-remitting multiple sclerosis (RRMS) and to explore the association of paramagnetic rim lesion (PRL) burden with patient outcome in the context of teriflunomide treatment and the impact of teriflunomide on PRL burden. Methods This is a prospective observational study. A total of 100 RRMS patients treated with teriflunomide ≥3 months were included in analyzing drug persistence and safety. Among them, 96 patients treated ≥6 months were included in assessing drug effectiveness in aspects of no evidence of disease activity (NEDA) 3. The number and total volume of PRL were calculated in 76 patients with baseline susceptibility-weighted imaging (SWI), and their association with NEDA3 failure during teriflunomide treatment was investigated. Results Over a treatment period of 19.7 (3.1-51.7) months, teriflunomide reduced annualized relapse rate (ARR) from 1.1 ± 0.8 to 0.3 ± 0.5, and Expanded Disability Status Scale (EDSS) scores remained stable. At month 24, the NEDA3% and drug persistence rate were 43.8% and 65.1%, respectively. In patients with a baseline SWI, 81.6% had at least 1 PRL, and 42.1% had ≥4 PRLs. The total volume of PRL per patient was 0.3 (0.0-11.5) mL, accounting for 2.3% (0.0%-49.0%) of the total T2 lesion volume. Baseline PRL number ≥ 4 (OR = 4.24, p = 0.009), younger onset age (OR = 0.94, p = 0.039), and frequent relapses in initial 2 years of disease (OR = 13.40, p = 0.026) were associated with NEDA3 failure. The PRL number and volume were not reduced (p = 0.343 and 0.051) after teriflunomide treatment for more than 24 months. No new safety concerns were identified in this study. Conclusion Teriflunomide is effective in reducing ARR in Chinese patients with RRMS. Patients with less PRL burden, less frequent relapses, and relatively older age are likely to benefit more from teriflunomide, indicating that PRL might be a valuable measurement to inform clinical treatment decision.
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Affiliation(s)
- Hongmei Tan
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
| | - Xiang Li
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
| | - Yuxin Li
- National Center for Neurological Disorders, Shanghai, China
- Department of Radiology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
| | - Fanru He
- National Center for Neurological Disorders, Shanghai, China
- Department of Radiology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jingzi ZhangBao
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
| | - Lei Zhou
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
| | - Liqin Yang
- National Center for Neurological Disorders, Shanghai, China
- Department of Radiology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
| | - Chongbo Zhao
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
| | - Chuanzhen Lu
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
| | - Haiqing Li
- National Center for Neurological Disorders, Shanghai, China
- Department of Radiology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
| | - Chao Quan
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
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Preziosa P, Pagani E, Meani A, Storelli L, Margoni M, Yudin Y, Tedone N, Biondi D, Rubin M, Rocca MA, Filippi M. Chronic Active Lesions and Larger Choroid Plexus Explain Cognition and Fatigue in Multiple Sclerosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2024; 11:e200205. [PMID: 38350048 DOI: 10.1212/nxi.0000000000200205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 12/18/2023] [Indexed: 02/15/2024]
Abstract
BACKGROUND AND OBJECTIVES Chronic inflammation may contribute to cognitive dysfunction and fatigue in patients with multiple sclerosis (MS). Paramagnetic rim lesions (PRLs) and choroid plexus (CP) enlargement have been proposed as markers of chronic inflammation in MS being associated with a more severe disease course. However, their relation with cognitive impairment and fatigue has not been fully explored yet. Here, we investigated the contribution of PRL number and volume and CP enlargement to cognitive impairment and fatigue in patients with MS. METHODS Brain 3T MRI, neurologic evaluation, and neuropsychological assessment, including the Brief Repeatable Battery of Neuropsychological Tests and Modified Fatigue Impact Scale, were obtained from 129 patients with MS and 73 age-matched and sex-matched healthy controls (HC). PRLs were identified on phase images of susceptibility-weighted imaging, whereas CP volume was quantified using a fully automatic method on brain three-dimensional T1-weighted and fluid-attenuated inversion recovery MRI sequences. Predictors of cognitive impairment and fatigue were identified using random forest. RESULTS Thirty-six (27.9%) patients with MS were cognitively impaired, and 31/113 (27.4%) patients had fatigue. Fifty-nine (45.7%) patients with MS had ≥1 PRLs (median = 0, interquartile range = 0;2). Compared with HC, patients with MS showed significantly higher T2-hyperintense white matter lesion (WM) volume; lower normalized brain, thalamic, hippocampal, caudate, cortical, and WM volumes; and higher normalized CP volume (p from <0.001 to 0.040). The predictors of cognitive impairment (relative importance) (out-of-bag area under the curve [OOB-AUC] = 0.707) were normalized brain volume (100%), normalized caudate volume (89.1%), normalized CP volume (80.3%), normalized cortical volume (70.3%), number (67.3%) and volume (66.7%) of PRLs, and T2-hyperintense WM lesion volume (64.0%). Normalized CP volume was the only predictor of the presence of fatigue (OOB-AUC = 0.563). DISCUSSION Chronic inflammation, with higher number and volume of PRLs and enlarged CP, may contribute to cognitive impairment in MS in addition to gray matter atrophy. The contribution of enlarged CP in explaining fatigue supports the relevance of immune-related processes in determining this manifestation independently of disease severity. PRLs and CP enlargement may contribute to the pathophysiology of cognitive impairment and fatigue in MS, and they may represent clinically relevant therapeutic targets to limit the impact of these clinical manifestations in MS.
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Affiliation(s)
- Paolo Preziosa
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Elisabetta Pagani
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessandro Meani
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Loredana Storelli
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Monica Margoni
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Yury Yudin
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Nicolò Tedone
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Diana Biondi
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Martina Rubin
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria A Rocca
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
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De Keersmaecker AV, Van Doninck E, Popescu V, Willem L, Cambron M, Laureys G, D’ Haeseleer M, Bjerke M, Roelant E, Lemmerling M, D’hooghe MB, Derdelinckx J, Reynders T, Willekens B. A metformin add-on clinical study in multiple sclerosis to evaluate brain remyelination and neurodegeneration (MACSiMiSE-BRAIN): study protocol for a multi-center randomized placebo controlled clinical trial. Front Immunol 2024; 15:1362629. [PMID: 38680485 PMCID: PMC11046490 DOI: 10.3389/fimmu.2024.1362629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 02/05/2024] [Indexed: 05/01/2024] Open
Abstract
Introduction Despite advances in immunomodulatory treatments of multiple sclerosis (MS), patients with non-active progressive multiple sclerosis (PMS) continue to face a significant unmet need. Demyelination, smoldering inflammation and neurodegeneration are important drivers of disability progression that are insufficiently targeted by current treatment approaches. Promising preclinical data support repurposing of metformin for treatment of PMS. The objective of this clinical trial is to evaluate whether metformin, as add-on treatment, is superior to placebo in delaying disease progression in patients with non-active PMS. Methods and analysis MACSiMiSE-BRAIN is a multi-center two-arm, 1:1 randomized, triple-blind, placebo-controlled clinical trial, conducted at five sites in Belgium. Enrollment of 120 patients with non-active PMS is planned. Each participant will undergo a screening visit with assessment of baseline magnetic resonance imaging (MRI), clinical tests, questionnaires, and a safety laboratory assessment. Following randomization, participants will be assigned to either the treatment (metformin) or placebo group. Subsequently, they will undergo a 96-week follow-up period. The primary outcome is change in walking speed, as measured by the Timed 25-Foot Walk Test, from baseline to 96 weeks. Secondary outcome measures include change in neurological disability (Expanded Disability Status Score), information processing speed (Symbol Digit Modalities Test) and hand function (9-Hole Peg test). Annual brain MRI will be performed to assess evolution in brain volumetry and diffusion metrics. As patients may not progress in all domains, a composite outcome, the Overall Disability Response Score will be additionally evaluated as an exploratory outcome. Other exploratory outcomes will consist of paramagnetic rim lesions, the 2-minute walking test and health economic analyses as well as both patient- and caregiver-reported outcomes like the EQ-5D-5L, the Multiple Sclerosis Impact Scale and the Caregiver Strain Index. Ethics and dissemination Clinical trial authorization from regulatory agencies [Ethical Committee and Federal Agency for Medicines and Health Products (FAMHP)] was obtained after submission to the centralized European Clinical Trial Information System. The results of this clinical trial will be disseminated at scientific conferences, in peer-reviewed publications, to patient associations and the general public. Trial registration ClinicalTrials.gov Identifier: NCT05893225, EUCT number: 2023-503190-38-00.
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Affiliation(s)
- Anna-Victoria De Keersmaecker
- Department of Neurology, Antwerp University Hospital, Edegem, Belgium
- Translational Neurosciences Research Group, Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium
| | - Eline Van Doninck
- Department of Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium
- Center of Health Economic Research and Modelling Infectious Diseases, University of Antwerp, Wilrijk, Belgium
| | - Veronica Popescu
- Immunology and Infection, University of Hasselt, Diepenbeek, Belgium
- Biomedical Research Institute, University of Hasselt, Diepenbeek, Belgium
- Department of Neurology, Noorderhart Maria Hospital, Pelt, Belgium
- University Multiple Sclerosis Centre, University of Hasselt, Hasselt, Belgium
| | - Lander Willem
- Department of Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium
- Center of Health Economic Research and Modelling Infectious Diseases, University of Antwerp, Wilrijk, Belgium
| | - Melissa Cambron
- Faculty of Medicine and Health Sciences, University of Ghent, Ghent, Belgium
- Department of Neurology, Algemeen Ziekenhuis Sint Jan, Bruges, Belgium
| | - Guy Laureys
- Faculty of Medicine and Health Sciences, University of Ghent, Ghent, Belgium
- Department of Neurology, University Hospital Ghent, Ghent, Belgium
| | - Miguel D’ Haeseleer
- Department of Neurology, University Hospital Brussels, Brussels, Belgium
- Department of Neurology, National Multiple Sclerosis Center, Melsbroek, Belgium
- Department Neuroprotection and Neuromodulation, Center for Neurosciences, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Maria Bjerke
- Department Neuroprotection and Neuromodulation, Center for Neurosciences, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium
- Neurochemistry Laboratory, Department of Clinical Biology, Brussels, University Hospital Brussels, Brussels, Belgium
- Department of Biomedical Sciences, University of Antwerp, Wilrijk, Belgium
| | - Ella Roelant
- Clinical Trial Center, Antwerp University Hospital, Edegem, Belgium
| | - Marc Lemmerling
- Department of Radiology, Antwerp University Hospital, Edegem, Wilrijk, Belgium
| | - Marie Beatrice D’hooghe
- Department of Neurology, University Hospital Brussels, Brussels, Belgium
- Department of Neurology, National Multiple Sclerosis Center, Melsbroek, Belgium
- Department Neuroprotection and Neuromodulation, Center for Neurosciences, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Judith Derdelinckx
- Department of Neurology, Antwerp University Hospital, Edegem, Belgium
- Laboratory of Experimental Hematology, Vaccine and Infectious Disease Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium
| | - Tatjana Reynders
- Department of Neurology, Antwerp University Hospital, Edegem, Belgium
- Translational Neurosciences Research Group, Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium
| | - Barbara Willekens
- Department of Neurology, Antwerp University Hospital, Edegem, Belgium
- Translational Neurosciences Research Group, Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium
- Laboratory of Experimental Hematology, Vaccine and Infectious Disease Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium
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Raj A, Gass A, Eisele P, Dabringhaus A, Kraemer M, Zöllner FG. A generalizable deep voxel-guided morphometry algorithm for the detection of subtle lesion dynamics in multiple sclerosis. Front Neurosci 2024; 18:1326108. [PMID: 38332857 PMCID: PMC10850259 DOI: 10.3389/fnins.2024.1326108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 01/10/2024] [Indexed: 02/10/2024] Open
Abstract
Introduction Multiple sclerosis (MS) is a chronic neurological disorder characterized by the progressive loss of myelin and axonal structures in the central nervous system. Accurate detection and monitoring of MS-related changes in brain structures are crucial for disease management and treatment evaluation. We propose a deep learning algorithm for creating Voxel-Guided Morphometry (VGM) maps from longitudinal MRI brain volumes for analyzing MS disease activity. Our approach focuses on developing a generalizable model that can effectively be applied to unseen datasets. Methods Longitudinal MS patient high-resolution 3D T1-weighted follow-up imaging from three different MRI systems were analyzed. We employed a 3D residual U-Net architecture with attention mechanisms. The U-Net serves as the backbone, enabling spatial feature extraction from MRI volumes. Attention mechanisms are integrated to enhance the model's ability to capture relevant information and highlight salient regions. Furthermore, we incorporate image normalization by histogram matching and resampling techniques to improve the networks' ability to generalize to unseen datasets from different MRI systems across imaging centers. This ensures robust performance across diverse data sources. Results Numerous experiments were conducted using a dataset of 71 longitudinal MRI brain volumes of MS patients. Our approach demonstrated a significant improvement of 4.3% in mean absolute error (MAE) against the state-of-the-art (SOTA) method. Furthermore, the algorithm's generalizability was evaluated on two unseen datasets (n = 116) with an average improvement of 4.2% in MAE over the SOTA approach. Discussion Results confirm that the proposed approach is fast and robust and has the potential for broader clinical applicability.
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Affiliation(s)
- Anish Raj
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Baden Württemberg, Germany
- Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Baden Württemberg, Germany
| | - Achim Gass
- Department of Neurology, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Baden Württemberg, Germany
- Mannheim Center for Translational Neurosciences, Heidelberg University, Mannheim, Baden Württemberg, Germany
| | - Philipp Eisele
- Department of Neurology, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Baden Württemberg, Germany
- Mannheim Center for Translational Neurosciences, Heidelberg University, Mannheim, Baden Württemberg, Germany
| | | | - Matthias Kraemer
- VGMorph GmbH, Mülheim an der Ruhr, Nordrhein-Westfalen, Germany
- NeuroCentrum, Grevenbroich, Nordrhein-Westfalen, Germany
| | - Frank G. Zöllner
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Baden Württemberg, Germany
- Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Baden Württemberg, Germany
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Gavasso S, Kråkenes T, Olsen H, Evjenth EC, Ytterdal M, Haugsøen JB, Kvistad CE. The Therapeutic Mechanisms of Mesenchymal Stem Cells in MS-A Review Focusing on Neuroprotective Properties. Int J Mol Sci 2024; 25:1365. [PMID: 38338644 PMCID: PMC10855165 DOI: 10.3390/ijms25031365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 01/11/2024] [Accepted: 01/19/2024] [Indexed: 02/12/2024] Open
Abstract
In multiple sclerosis (MS), there is a great need for treatment with the ability to suppress compartmentalized inflammation within the central nervous system (CNS) and to promote remyelination and regeneration. Mesenchymal stem cells (MSCs) represent a promising therapeutic option, as they have been shown to migrate to the site of CNS injury and exert neuroprotective properties, including immunomodulation, neurotrophic factor secretion, and endogenous neural stem cell stimulation. This review summarizes the current understanding of the underlying neuroprotective mechanisms and discusses the translation of MSC transplantation and their derivatives from pre-clinical demyelinating models to clinical trials with MS patients.
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Affiliation(s)
- Sonia Gavasso
- Department of Clinical Medicine, University of Bergen, 5009 Bergen, Norway; (T.K.); (H.O.); (E.C.E.); (J.B.H.); (C.E.K.)
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Torbjørn Kråkenes
- Department of Clinical Medicine, University of Bergen, 5009 Bergen, Norway; (T.K.); (H.O.); (E.C.E.); (J.B.H.); (C.E.K.)
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Håkon Olsen
- Department of Clinical Medicine, University of Bergen, 5009 Bergen, Norway; (T.K.); (H.O.); (E.C.E.); (J.B.H.); (C.E.K.)
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Elisabeth Claire Evjenth
- Department of Clinical Medicine, University of Bergen, 5009 Bergen, Norway; (T.K.); (H.O.); (E.C.E.); (J.B.H.); (C.E.K.)
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Marie Ytterdal
- Department of Clinical Medicine, University of Bergen, 5009 Bergen, Norway; (T.K.); (H.O.); (E.C.E.); (J.B.H.); (C.E.K.)
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Jonas Bull Haugsøen
- Department of Clinical Medicine, University of Bergen, 5009 Bergen, Norway; (T.K.); (H.O.); (E.C.E.); (J.B.H.); (C.E.K.)
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Christopher Elnan Kvistad
- Department of Clinical Medicine, University of Bergen, 5009 Bergen, Norway; (T.K.); (H.O.); (E.C.E.); (J.B.H.); (C.E.K.)
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, 5021 Bergen, Norway
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12
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Cruz A, Pereira D, Batista S. [Use of Gadolinium in Follow-Up MRI of Multiple Sclerosis Patients: Current Recommendations]. ACTA MEDICA PORT 2024; 37:53-63. [PMID: 38183232 DOI: 10.20344/amp.20467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 10/30/2023] [Indexed: 01/07/2024]
Abstract
Multiple sclerosis is the most frequent demyelinating disease of the central nervous system and is characterized by early onset and progressive disability. Magnetic resonance imaging, due to its high sensitivity and specificity in the detection of demyelinating lesions, is the most useful diagnostic test for this disease, with the administration of gadolinium-based contrast agents being an important contribution to imaging interpretation. Although contrast is essential for diagnostic purposes, its routine use in monitoring disease activity, response to treatment, and related complications is controversial. This article aims to collate current recommendations regarding the use of gadolinium in the imaging follow-up of multiple sclerosis and establish effective and safe guidelines for clinical practice. The literature review was conducted in PubMed, using the terms 'multiple sclerosis', 'magnetic resonance imaging' and 'gadolinium', or 'contrast media'. Articles published between January 2013 and January 2023 concerning the safety of gadolinium and the use of these contrast agents in follow-up scans of adult patients diagnosed with multiple sclerosis were selected. Although no biological or clinical consequences have been unequivocally attributed to the retention of gadolinium in the brain, which were mostly reported with linear agents, health authorities have been recommending the restriction of contrast to essential clinical circumstances. In multiple sclerosis, the detection of subclinical contrast-enhancing lesions with no corresponding new/ enlarging T2-WI lesions is rare and has a questionable impact on therapeutic decisions. On the other hand, gadolinium has a higher sensitivity in the differential diagnosis of relapses, in the detection of recent disease activity, before and after treatment initiation, and in patients with a large lesion burden or diffuse/confluent T2-WI lesions. Contrary to progressive multifocal leukoencephalopathy screening, monitoring of immune restitution inflammatory syndrome also benefits from the administration of gadolinium. It is feasible and safe to exclude gadolinium-based contrast agents from routine follow-up scans of multiple sclerosis, despite their additional contribution in specific clinical circumstances that should be acknowledged by the neurologist and neuroradiologist.
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Affiliation(s)
- Andreia Cruz
- Faculdade de Medicina. Universidade de Coimbra. Coimbra. Portugal
| | - Daniela Pereira
- Área Funcional de Neurorradiologia. Serviço de Imagem Médica. Centro Hospitalar e Universitário de Coimbra. Coimbra. Portugal
| | - Sónia Batista
- Faculdade de Medicina. Universidade de Coimbra. Coimbra; Serviço de Neurologia. Centro Hospitalar e Universitário de Coimbra. Coimbra. Portugal
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13
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Hofmann A, Krajnc N, Dal-Bianco A, Riedl CJ, Zrzavy T, Lerma-Martin C, Kasprian G, Weber CE, Pezzini F, Leutmezer F, Rommer P, Bsteh G, Platten M, Gass A, Berger T, Eisele P, Magliozzi R, Schirmer L, Hametner S. Myeloid cell iron uptake pathways and paramagnetic rim formation in multiple sclerosis. Acta Neuropathol 2023; 146:707-724. [PMID: 37715818 PMCID: PMC10564819 DOI: 10.1007/s00401-023-02627-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 08/01/2023] [Accepted: 08/23/2023] [Indexed: 09/18/2023]
Abstract
In multiple sclerosis (MS), sustained inflammatory activity can be visualized by iron-sensitive magnetic resonance imaging (MRI) at the edges of chronic lesions. These paramagnetic rim lesions (PRLs) are associated with clinical worsening, although the cell type-specific and molecular pathways of iron uptake and metabolism are not well known. We studied two postmortem cohorts: an exploratory formalin-fixed paraffin-embedded (FFPE) tissue cohort of 18 controls and 24 MS cases and a confirmatory snap-frozen cohort of 6 controls and 14 MS cases. Besides myelin and non-heme iron imaging, the haptoglobin-hemoglobin scavenger receptor CD163, the iron-metabolizing markers HMOX1 and HAMP as well as immune-related markers P2RY12, CD68, C1QA and IL10 were visualized in myeloid cell (MC) subtypes at RNA and protein levels across different MS lesion areas. In addition, we studied PRLs in vivo in a cohort of 98 people with MS (pwMS) via iron-sensitive 3 T MRI and haptoglobin genotyping by PCR. CSF samples were available from 38 pwMS for soluble CD163 (sCD163) protein level measurements by ELISA. In postmortem tissues, we observed that iron uptake was linked to rim-associated C1QA-expressing MC subtypes, characterized by upregulation of CD163, HMOX1, HAMP and, conversely, downregulation of P2RY12. We found that pwMS with [Formula: see text] 4 PRLs had higher sCD163 levels in the CSF than pwMS with [Formula: see text] 3 PRLs with sCD163 correlating with the number of PRLs. The number of PRLs was associated with clinical worsening but not with age, sex or haptoglobin genotype of pwMS. However, pwMS with Hp2-1/Hp2-2 haplotypes had higher clinical disability scores than pwMS with Hp1-1. In summary, we observed upregulation of the CD163-HMOX1-HAMP axis in MC subtypes at chronic active lesion rims, suggesting haptoglobin-bound hemoglobin but not transferrin-bound iron as a critical source for MC-associated iron uptake in MS. The correlation of CSF-associated sCD163 with PRL counts in MS highlights the relevance of CD163-mediated iron uptake via haptoglobin-bound hemoglobin. Also, while Hp haplotypes had no noticeable influence on PRL counts, pwMS carriers of a Hp2 allele might have a higher risk to experience clinical worsening.
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Affiliation(s)
- Annika Hofmann
- Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Nik Krajnc
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Assunta Dal-Bianco
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Christian J Riedl
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Tobias Zrzavy
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Celia Lerma-Martin
- Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Gregor Kasprian
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
- Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Claudia E Weber
- Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Francesco Pezzini
- Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, Verona, Italy
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Fritz Leutmezer
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Paulus Rommer
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Gabriel Bsteh
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Michael Platten
- Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Mannheim Center for Translational Neuroscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Mannheim Institute for Innate Immunity, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Interdisciplinary Center for Neurosciences, Heidelberg University, Heidelberg, Germany
- DKTK Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center, INF 280, Heidelberg, Germany
| | - Achim Gass
- Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Mannheim Center for Translational Neuroscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Thomas Berger
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Philipp Eisele
- Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Mannheim Center for Translational Neuroscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Roberta Magliozzi
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Lucas Schirmer
- Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
- Mannheim Center for Translational Neuroscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
- Mannheim Institute for Innate Immunity, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
- Interdisciplinary Center for Neurosciences, Heidelberg University, Heidelberg, Germany.
| | - Simon Hametner
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria.
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
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Lipka A, Bogner W, Dal-Bianco A, Hangel GJ, Rommer PS, Strasser B, Motyka S, Hingerl L, Berger T, Leutmezer F, Gruber S, Trattnig S, Niess E. Metabolic Insights into Iron Deposition in Relapsing-Remitting Multiple Sclerosis via 7 T Magnetic Resonance Spectroscopic Imaging. Neuroimage Clin 2023; 40:103524. [PMID: 37839194 PMCID: PMC10590870 DOI: 10.1016/j.nicl.2023.103524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/26/2023] [Accepted: 10/07/2023] [Indexed: 10/17/2023]
Abstract
OBJECTIVE To investigate the metabolic pattern of different types of iron accumulation in multiple sclerosis (MS) lesions, and compare metabolic alterations within and at the periphery of lesions and newly emerging lesions in vivo according to iron deposition. METHODS 7 T MR spectroscopic imaging and susceptibility-weighted imaging was performed in 31 patients with relapsing-remitting MS (16 female/15 male; mean age, 36.9 ± 10.3 years). Mean metabolic ratios of four neuro-metabolites were calculated for regions of interest (ROI) of normal appearing white matter (NAWM), "non-iron" (lesion without iron accumulation on SWI), and three distinct types of iron-laden lesions ("rim": distinct rim-shaped iron accumulation; "area": iron deposition across the entire lesions; "transition": transition between "area" and "rim" accumulation shape), and for lesion layers of "non-iron" and "rim" lesions. Furthermore, newly emerging "non-iron" and "iron" lesions were compared longitudinally, as measured before their appearance and one year later. RESULTS Thirty-nine of 75 iron-containing lesions showed no distinct paramagnetic rim. Of these, "area" lesions exhibited a 65% higher mIns/tNAA (p = 0.035) than "rim" lesions. Comparing lesion layers of both "non-iron" and "rim" lesions, a steeper metabolic gradient of mIns/tNAA ("non-iron" +15%, "rim" +40%) and tNAA/tCr ("non-iron" -15%, "rim" -35%) was found in "iron" lesions, with the lesion core showing +22% higher mIns/tNAA (p = 0.005) and -23% lower tNAA/tCr (p = 0.048) in "iron" compared to "non-iron" lesions. In newly emerging lesions, 18 of 39 showed iron accumulation, with the drop in tNAA/tCr after lesion formation remaining significantly lower compared to pre-lesional tissue over time in "iron" lesions (year 0: p = 0.013, year 1: p = 0.041) as opposed to "non-iron" lesions (year 0: p = 0.022, year 1: p = 0.231). CONCLUSION 7 T MRSI allows in vivo characterization of different iron accumulation types each presenting with a distinct metabolic profile. Furthermore, the larger extent of neuronal damage in lesions with a distinct iron rim was reconfirmed via reduced tNAA/tCr concentrations, but with metabolic differences in lesion development between (non)-iron-containing lesions. This highlights the ability of MRSI to further investigate different types of iron accumulation and suggests possible implications for disease monitoring.
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Affiliation(s)
- Alexandra Lipka
- High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Wolfgang Bogner
- High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for MR Imaging Biomarkers (BIOMAK), Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna.
| | | | - Gilbert J Hangel
- High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - Paulus S Rommer
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Bernhard Strasser
- High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Stanislav Motyka
- High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Lukas Hingerl
- High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Thomas Berger
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Fritz Leutmezer
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Stephan Gruber
- High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Siegfried Trattnig
- High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Karl Landsteiner Institute for Clinical Molecular MRI in Musculoskeletal System, Vienna, Austria
| | - Eva Niess
- High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for MR Imaging Biomarkers (BIOMAK), Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna
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15
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Edde M, Houde F, Theaud G, Dumont M, Gilbert G, Houde JC, Maltais L, Théberge A, Doumbia M, Beaudoin AM, Lapointe E, Barakovic M, Magon S, Descoteaux M. Impact of follow ups, time interval and study duration in diffusion & myelin MRI clinical study in MS. Neuroimage Clin 2023; 40:103529. [PMID: 37857232 PMCID: PMC10591008 DOI: 10.1016/j.nicl.2023.103529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 10/04/2023] [Accepted: 10/10/2023] [Indexed: 10/21/2023]
Abstract
It is currently unknown how quantitative diffusion and myelin MRI designs affect the results of a longitudinal study. We used two independent datasets containing 6 monthly MRI measurements from 20 healthy controls and 20 relapsing-remitting multiple sclerosis (RR-MS) patients. Six designs were tested, including 3 MRI acquisitions, either over 6 months or over a shorter study duration, with balanced (same interval) or unbalanced (different interval) time intervals between MRI acquisitions. First, we show that in RR-MS patients, the brain changes over time obtained with 3 MRI acquisitions were similar to those observed with 5 MRI acquisitions and that designs with an unbalanced time interval showed the highest similarity, regardless of study duration. No significant brain changes were found in the healthy controls over the same periods. Second, the study duration affects the sample size in the RR-MS dataset; a longer study requires more subjects and vice versa. Third, the number of follow-up acquisitions and study duration affect the sensitivity and specificity of the associations with clinical parameters, and these depend on the white matter bundle and MRI measure considered. Together, this suggests that the optimal design depends on the assumption of the dynamics of change in the target population and the accuracy required to capture these dynamics. Thus, this work provides a better understanding of key factors to consider in a longitudinal study and provides clues for better strategies in clinical trial design.
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Affiliation(s)
- Manon Edde
- Imeka Solutions, Inc., Sherbrooke, QC, Canada; Université de Sherbrooke, Sherbrooke, QC, Canada.
| | | | | | | | - Guillaume Gilbert
- MR Clinical Science, Philips Healthcare Canada, Mississauga, Ontario, Canada
| | | | | | - Antoine Théberge
- Université de Sherbrooke, Sherbrooke, QC, Canada; Videos & Images Theory and Analytics Laboratory (VITAL), Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Moussa Doumbia
- Université de Sherbrooke, CIUSSS de l'Estrie-CHUS Fleurimont, Sherbrooke, QC, Canada
| | - Ann-Marie Beaudoin
- Université de Sherbrooke, Sherbrooke, QC, Canada; Université de Sherbrooke, CIUSSS de l'Estrie-CHUS Fleurimont, Sherbrooke, QC, Canada
| | - Emmanuelle Lapointe
- Université de Sherbrooke, CIUSSS de l'Estrie-CHUS Fleurimont, Sherbrooke, QC, Canada
| | - Muhamed Barakovic
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel Switzerland, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Stefano Magon
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel Switzerland, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Maxime Descoteaux
- Imeka Solutions, Inc., Sherbrooke, QC, Canada; Université de Sherbrooke, Sherbrooke, QC, Canada
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16
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Zierfuss B, Wang Z, Jackson AN, Moezzi D, Yong VW. Iron in multiple sclerosis - Neuropathology, immunology, and real-world considerations. Mult Scler Relat Disord 2023; 78:104934. [PMID: 37579645 DOI: 10.1016/j.msard.2023.104934] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 07/30/2023] [Accepted: 08/08/2023] [Indexed: 08/16/2023]
Abstract
Iron is an essential element involved in a multitude of bodily processes. It is tightly regulated, as elevated deposition in tissues is associated with diseases such as multiple sclerosis (MS). Iron accumulation in the central nervous system (CNS) of MS patients is linked to neurotoxicity through mechanisms including oxidative stress, glutamate excitotoxicity, misfolding of proteins, and ferroptosis. In the past decade, the combination of MRI and histopathology has enhanced our understanding of iron deposition in MS pathophysiology, including in the pro-inflammatory and neurotoxicity of iron-laden rims of chronic active lesions. In this regard, iron accumulation may not only have an impact on different CNS-resident cells but may also promote the innate and adaptive immune dysfunctions in MS. Although there are discordant results, most studies indicate lower levels of iron but higher amounts of the iron storage molecule ferritin in the circulation of people with MS. Considering the importance of iron, there is a need for evidence-guided recommendation for dietary intake in people living with MS. Potential novel therapeutic approaches include the regulation of iron levels using next generation iron chelators, as well as therapies to interfere with toxic consequences of iron overload including antioxidants in MS.
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Affiliation(s)
- Bettina Zierfuss
- The Research Center of the Centre Hospitalier de l'Université de Montréal (CRCHUM), Department of Neuroscience, Faculty of Medicine, Université de Montréal, Montréal H2X 0A9, Québec, Canada
| | - Zitong Wang
- Department of Psychiatry, College of Health Sciences, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta T6G 2B7, Canada
| | - Alexandra N Jackson
- School of Rehabilitation Therapy, Faculty of Health Sciences, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - Dorsa Moezzi
- The Hotchkiss Brain Institute and the Department of Clinical Neurosciences, University of Calgary, 3330 Hospital Dr NW, Calgary, Alberta T2N 4N1, Canada
| | - V Wee Yong
- The Hotchkiss Brain Institute and the Department of Clinical Neurosciences, University of Calgary, 3330 Hospital Dr NW, Calgary, Alberta T2N 4N1, Canada.
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17
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Maggi P, Bulcke CV, Pedrini E, Bugli C, Sellimi A, Wynen M, Stölting A, Mullins WA, Kalaitzidis G, Lolli V, Perrotta G, El Sankari S, Duprez T, Li X, Calabresi PA, van Pesch V, Reich DS, Absinta M. B cell depletion therapy does not resolve chronic active multiple sclerosis lesions. EBioMedicine 2023; 94:104701. [PMID: 37437310 PMCID: PMC10436266 DOI: 10.1016/j.ebiom.2023.104701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 06/23/2023] [Accepted: 06/23/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND Chronic active lesions (CAL) in multiple sclerosis (MS) have been observed even in patients taking high-efficacy disease-modifying therapy, including B-cell depletion. Given that CAL are a major determinant of clinical progression, including progression independent of relapse activity (PIRA), understanding the predicted activity and real-world effects of targeting specific lymphocyte populations is critical for designing next-generation treatments to mitigate chronic inflammation in MS. METHODS We analyzed published lymphocyte single-cell transcriptomes from MS lesions and bioinformatically predicted the effects of depleting lymphocyte subpopulations (including CD20 B-cells) from CAL via gene-regulatory-network machine-learning analysis. Motivated by the results, we performed in vivo MRI assessment of PRL changes in 72 adults with MS, 46 treated with anti-CD20 antibodies and 26 untreated, over ∼2 years. FINDINGS Although only 4.3% of lymphocytes in CAL were CD20 B-cells, their depletion is predicted to affect microglial genes involved in iron/heme metabolism, hypoxia, and antigen presentation. In vivo, tracking 202 PRL (150 treated) and 175 non-PRL (124 treated), none of the treated paramagnetic rims disappeared at follow-up, nor was there a treatment effect on PRL for lesion volume, magnetic susceptibility, or T1 time. PIRA occurred in 20% of treated patients, more frequently in those with ≥4 PRL (p = 0.027). INTERPRETATION Despite predicted effects on microglia-mediated inflammatory networks in CAL and iron metabolism, anti-CD20 therapies do not fully resolve PRL after 2-year MRI follow up. Limited tissue turnover of B-cells, inefficient passage of anti-CD20 antibodies across the blood-brain-barrier, and a paucity of B-cells in CAL could explain our findings. FUNDING Intramural Research Program of NINDS, NIH; NINDS grants R01NS082347 and R01NS082347; Dr. Miriam and Sheldon G. Adelson Medical Research Foundation; Cariplo Foundation (grant #1677), FRRB Early Career Award (grant #1750327); Fund for Scientific Research (FNRS).
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Affiliation(s)
- Pietro Maggi
- Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium; Neuroinflammation Imaging Lab (NIL), Université Catholique de Louvain, Brussels, Belgium; Centre Hospitalier Universitaire Vaudois, Université de Lausanne, Lausanne, Switzerland.
| | - Colin Vanden Bulcke
- Neuroinflammation Imaging Lab (NIL), Université Catholique de Louvain, Brussels, Belgium
| | - Edoardo Pedrini
- Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University and IRCCS San Raffaele Hospital, Milan, Italy
| | - Céline Bugli
- Plateforme Technologique de Support en Méthodologie et Calcul Statistique, Université Catholique de Louvain, Brussels, Belgium
| | - Amina Sellimi
- Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Maxence Wynen
- Neuroinflammation Imaging Lab (NIL), Université Catholique de Louvain, Brussels, Belgium
| | - Anna Stölting
- Neuroinflammation Imaging Lab (NIL), Université Catholique de Louvain, Brussels, Belgium
| | - William A Mullins
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Grigorios Kalaitzidis
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Valentina Lolli
- Hôpital Erasme, Université Libre de Bruxelles, Bruxelles, Belgium
| | - Gaetano Perrotta
- Hôpital Erasme, Université Libre de Bruxelles, Bruxelles, Belgium
| | - Souraya El Sankari
- Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Thierry Duprez
- Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Xu Li
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Vincent van Pesch
- Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Martina Absinta
- Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University and IRCCS San Raffaele Hospital, Milan, Italy; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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18
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Kim S, Lee EK, Song CJ, Sohn E. Iron Rim Lesions as a Specific and Prognostic Biomarker of Multiple Sclerosis: 3T-Based Susceptibility-Weighted Imaging. Diagnostics (Basel) 2023; 13:diagnostics13111866. [PMID: 37296717 DOI: 10.3390/diagnostics13111866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 05/23/2023] [Accepted: 05/24/2023] [Indexed: 06/12/2023] Open
Abstract
This study aimed to identify the clinical significance of iron rim lesions (IRLs) in distinguishing multiple sclerosis (MS) from other central nervous system (CNS) demyelinating diseases, determine the relationship between IRLs and disease severity, and understand the long-term dynamic changes in IRLs in MS. We retrospectively evaluated 76 patients with CNS demyelinating diseases. CNS demyelinating diseases were classified into three groups: MS (n = 30), neuromyelitis optica spectrum disorder (n = 23), and other CNS demyelinating diseases (n = 23). MRI images were obtained using conventional 3T MRI including susceptibility-weighted imaging. Sixteen of 76 patients (21.1%) had IRLs. Of the 16 patients with IRLs, 14 were in the MS group (87.5%), indicating that IRLs were significantly specific for MS. In the MS group, patients with IRLs had a significantly higher number of total WMLs, experienced more frequent recurrence, and were treated more with second-line immunosuppressive agents than were patients without IRLs. In addition to IRLs, T1-blackhole lesions were observed more frequently in the MS group than in the other groups. IRLs are specific for MS and could represent a reliable imaging biomarker to improve the diagnosis of MS. Additionally, the presence of IRLs seems to reflect more severe disease progression in MS.
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Affiliation(s)
- Sooyoung Kim
- Department of Neurology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon 35015, Republic of Korea
| | - Eun Kyoung Lee
- Department of Neurology, Chungnam National University Sejong Hospital, Chungnam National University College of Medicine, Daejeon 35015, Republic of Korea
| | - Chang June Song
- Department of Radiology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon 35015, Republic of Korea
| | - Eunhee Sohn
- Department of Neurology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon 35015, Republic of Korea
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19
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Wenzel N, Wittayer M, Weber CE, Platten M, Gass A, Eisele P. Multiple sclerosis iron rim lesions are linked to impaired cervical spinal cord integrity using the T1/T2-weighted ratio. J Neuroimaging 2023; 33:240-246. [PMID: 36504270 DOI: 10.1111/jon.13076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 11/27/2022] [Accepted: 11/29/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND AND PURPOSE In multiple sclerosis (MS), iron rim lesions (IRLs) are characterized by pronounced tissue matrix damage. The T1/T2-weighted (T1/T2w) ratio represents a postprocessing MRI approach to investigate tissue integrity, but studies investigating spinal cord pathology are missing until now. The aim of this study was to characterize tissue integrity using the T1/T2w ratio in lesions and the normal-appearing white and gray matter (NAWM, NAGM) in the spinal cord and brain in MS patients with and without brain IRLs. METHODS Forty MS patients (20 patients with at least one brain IRL and 20 age- and sex-matched patients without IRLs) were included. Normalized cross-sectional area (nCSA) of the upper cervical cord was calculated in addition to T1/T2w values and standard brain and spinal cord MRI parameters. RESULTS Patients with IRLs had higher disability scores, a smaller nCSA, and a higher cervical T2 lesion volume. T1/T2w values of brain IRLs were significantly lower compared to non-IRLs (p < .001). Furthermore, T1/T2w values of lesions were significantly lower compared to the NAGM and NAWM, both in the brain and the spinal cord (p < .05 for all comparisons). T1/T2w values of the NAGM and NAWM in the brain and spinal cord did not statistically differ between the IRL group and the non-IRL group. CONCLUSION IRLs constitute an imaging marker of disease severity. T1/T2w ratio maps represent an interesting technique to capture diffuse tissue properties. Calculation of T1/T2w ratio maps of the spinal cord might provide additional insights into the pathophysiological processes of MS.
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Affiliation(s)
- Nicolas Wenzel
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany
| | - Matthias Wittayer
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany
| | - Claudia E Weber
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany
| | - Michael Platten
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany.,DKTK CCU Neuroimmunology and Brain Tumor Immunology, DKFZ, Heidelberg, Germany
| | - Achim Gass
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany
| | - Philipp Eisele
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany
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20
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Wittayer M, Weber CE, Kittel M, Platten M, Schirmer L, Tumani H, Gass A, Eisele P. Cerebrospinal fluid–related tissue damage in multiple sclerosis patients with iron rim lesions. Mult Scler 2023; 29:549-558. [PMID: 37119207 PMCID: PMC10152561 DOI: 10.1177/13524585231155639] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Background: In multiple sclerosis (MS), iron rim lesions (IRLs) are associated with pronounced tissue damage, higher disease severity and have been suggested as an imaging marker of chronic active inflammation behind the blood–brain barrier indicating progression. Furthermore, chronic intrathecal compartmentalized inflammation has been suggested to be a mediator of a cerebrospinal fluid (CSF)–related tissue damage. Objective: To investigate CSF markers of intrathecal inflammation in patients with at least one IRL compared to patients without IRLs and to investigate tissue damage in lesions and normal-appearing white matter (NAWM) with proximity to CSF spaces. Methods: A total of 102 patients (51 with at least 1 IRL and 51 age-/sex-matched patients without IRL) scanned with the same 3T magnetic resonance imaging (MRI) and having CSF analysis data were included. Results: Patients with at least one IRL had higher disability scores, higher lesion volumes, lower brain volumes and a higher intrathecal immunoglobulin G (IgG) synthesis. Apparent diffusion coefficient (ADC) values in IRLs were higher compared to non-IRLs. We observed a negative linear correlation of ADC values in all tissue classes and distance to CSF, which was stronger in patients with high IgG quotients. Conclusion: IRLs are associated with higher intrathecal IgG synthesis. CSF-mediated intrathecal smouldering inflammation could explain a CSF-related gradient of tissue damage.
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Affiliation(s)
- Matthias Wittayer
- Department of Neurology, Mannheim Center of Translational Neurosciences (MCTN), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Claudia E Weber
- Department of Neurology, Mannheim Center of Translational Neurosciences (MCTN), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Maximilian Kittel
- Institute for Clinical Chemistry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Michael Platten
- Department of Neurology, Mannheim Center of Translational Neurosciences (MCTN), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany/German
- Consortium of Translational Cancer Research (DKTK), Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lucas Schirmer
- Department of Neurology, Mannheim Center of Translational Neurosciences (MCTN), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany/Mannheim Institute for Innate Immunoscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Achim Gass
- Department of Neurology, Mannheim Center of Translational Neurosciences (MCTN), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Philipp Eisele
- Department of Neurology, Mannheim Center of Translational Neurosciences (MCTN), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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21
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Wittayer M, Weber CE, Krämer J, Platten M, Schirmer L, Gass A, Eisele P. Exploring (peri-) lesional and structural connectivity tissue damage through T1/T2-weighted ratio in iron rim multiple sclerosis lesions. Magn Reson Imaging 2023; 95:12-18. [PMID: 36270415 DOI: 10.1016/j.mri.2022.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 10/11/2022] [Accepted: 10/14/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE In multiple sclerosis (MS), iron rim lesions (IRLs) on magnetic resonance imaging (MRI) are associated with pronounced intralesional tissue damage. The aim of this study was to investigate (peri-)lesional and structural connectivity tissue damage in IRLs compared to non-IRLs. MATERIAL AND METHODS MRI was acquired on a 3 T system. Tissue integrity was assessed using the T1/T2-weighted (T1/T2w) ratio. Furthermore, we assessed the impact on structural network connectivity accounting for differences in lesion volumes and T1/T2w values. RESULTS Seventy-six patients (38 with at least one IRL and 38 age- and sex-matched patients without IRLs) were included. In the IRL-group, T1/T2w ratios of IRLs were significantly lower compared to non-IRLs (p < 0.05). When comparing the T1/T2w ratios in non-IRLs between the IRL-group and non-IRL group, there was no significant difference (p = 0.887). We observed a centrifugal decrease in microstructural damage from lesions to the perilesional white matter. In the IRL-group, T1/T2w ratios in the perilesional white matter 3-8 mm distant to the lesion were significantly lower in IRLs compared to non-IRLs. We found no significant differences in the amount of network disruption between both lesion types (p = 0.122). CONCLUSION T1/T2w represents an interesting candidate to capture a pronounced intra- and perilesional tissue damage of IRLs. However, our preliminary results suggest that a pronounced tissue damage might not result in a higher disruption to structural connectivity networks in IRLs.
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Affiliation(s)
- Matthias Wittayer
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1 - 3, 68167 Mannheim, Germany
| | - Claudia E Weber
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1 - 3, 68167 Mannheim, Germany
| | - Julia Krämer
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer-Campus 1; Gebäude A1, Westturm, Ebene 5, 48149 Münster, Germany
| | - Michael Platten
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1 - 3, 68167 Mannheim, Germany; German Consortium of Translational Cancer Research (DKTK), Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lucas Schirmer
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1 - 3, 68167 Mannheim, Germany; Institute for Innate Immunoscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Achim Gass
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1 - 3, 68167 Mannheim, Germany
| | - Philipp Eisele
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1 - 3, 68167 Mannheim, Germany.
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22
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Eisele P, Wittayer M, Weber CE, Platten M, Schirmer L, Gass A. Impact of disease-modifying therapies on evolving tissue damage in iron rim multiple sclerosis lesions. Mult Scler 2022; 28:2294-2298. [PMID: 35778799 DOI: 10.1177/13524585221106338] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We investigated the impact of disease-modifying therapies (DMTs) on the evolving tissue damage in iron rim multiple sclerosis lesions using a novel post-processing magnetic resonance imaging (MRI) approach, the T1/T2 ratio. In this study, on baseline and 1-year follow-up, T1/T2 ratios of iron rim lesions (IRLs) in patients starting DMT (dimethyl fumarate, fingolimod, ocrelizumab) did not statistically differ compared to patients without DMT. At the second follow-up, T1/T2 ratios were significantly lower in IRLs in patients without DMT (p = 0.002), suggesting that DMTs have a beneficial delayed effect on lesion evolution and tissue matrix damage in IRLs.
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Affiliation(s)
- Philipp Eisele
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany
| | - Matthias Wittayer
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany
| | - Claudia E Weber
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany
| | - Michael Platten
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany/German Consortium of Translational Cancer Research (DKTK), Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lucas Schirmer
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany/Institute for Innate Immunoscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Achim Gass
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Mannheim, Germany
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Wittayer M, Weber CE, Platten M, Schirmer L, Gass A, Eisele P. Spatial distribution of multiple sclerosis iron rim lesions and their impact on disability. Mult Scler Relat Disord 2022; 64:103967. [PMID: 35728430 DOI: 10.1016/j.msard.2022.103967] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/07/2022] [Accepted: 06/13/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND In multiple sclerosis (MS), iron rim lesions (IRLs) on magnetic resonance imaging (MRI) have been suggested as an imaging marker of disease progression. However, the exact mechanisms how they contribute to disability are yet not completely known. Strategic lesion location may be an important factor concerning the impact of focal lesions on clinical disability. Therefore, the aim of this study was to investigate the spatial distribution of IRLs compared to non-IRLs and their impact on disability. METHODS We retrospectively identified 67 patients with at least one IRL on MRI and 67 age- and sex-matched patients without IRLs. We compared the spatial distribution of lesions between both groups and between IRLs and non-IRLs in patients with IRLs. Furthermore, we assessed the relationship between lesion localisation and disability on a voxel-by-voxel basis and investigated the impact on structural network disruptions. RESULTS Patients with IRLs had higher disability scores (median Expanded Disability Status Scale score (range): 3.0 (0 - 8.5) versus 1.5 (0 - 6.5); p = 0.001; median pyramidal functional system score (range): 1.0 (0 - 5) versus 0 (0 - 4); p = 0.003), significantly lower brain volumes (mean normal-appearing grey matter volume: 749.66 ± 60.58 versus 785.83 ± 53.71 mL; mean normal-appearing white matter volume: 723.58 ± 60.13 versus 753.25 ± 69.61 mL; mean deep grey matter volume: 33.21 ± 4.19 versus 35.85 ± 4.89 mL; p < 0.05 for all comparisons) and a significantly higher total T2 lesion volume (mean: 9.96 ± 11.6 versus 4.31 ± 8.9 mL; p < 0.001). We found no neuroanatomical regions that were more often affected by IRLs. Furthermore, comparing the overall network disruption in the IRL group, IRLs caused less network disruption/mL lesion size compared to non-IRLs (1.54% / mL versus 2.0% / mL; p < 0.05). CONCLUSION IRLs are associated with higher disability scores. However, our results suggest that a higher disability is not explained by the sheer topography of IRLs or their network disruption.
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Affiliation(s)
- Matthias Wittayer
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1 - 3, Mannheim 68167, Germany
| | - Claudia E Weber
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1 - 3, Mannheim 68167, Germany
| | - Michael Platten
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1 - 3, Mannheim 68167, Germany; DKTK CCU Neuroimmunology and Brain Tumor Immunology, DKFZ, Heidelberg, Germany
| | - Lucas Schirmer
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1 - 3, Mannheim 68167, Germany; Medical Faculty Mannheim, Institute for Innate Immunoscience, Heidelberg University, Mannheim, Germany
| | - Achim Gass
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1 - 3, Mannheim 68167, Germany
| | - Philipp Eisele
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1 - 3, Mannheim 68167, Germany.
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Wenzel N, Wittayer M, Weber CE, Schirmer L, Platten M, Gass A, Eisele P. MRI predictors for the conversion from contrast-enhancing to iron rim multiple sclerosis lesions. J Neurol 2022; 269:4414-4420. [PMID: 35332392 PMCID: PMC9293822 DOI: 10.1007/s00415-022-11082-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/11/2022] [Accepted: 03/11/2022] [Indexed: 12/22/2022]
Abstract
BACKGROUND In multiple sclerosis (MS), iron rim lesions (IRLs) are characterized by progressive tissue matrix damage. Therefore, early identification could represent an interesting target for therapeutic intervention to minimize evolving tissue damage. The aim of this study was to identify magnetic resonance imaging (MRI) parameters predicting the conversion from contrast-enhancing to IRLs. METHODS We retrospective identified MS patients scanned on the same 3 T MRI system presenting at least one supratentorial contrast-enhancing lesion (CEL) and a second MRI including susceptibility-weighted images after at least 3 months. On baseline MRI, pattern of contrast-enhancement was categorized as "nodular" or "ring-like", apparent diffusion coefficient (ADC) maps were assessed for the presence of a peripheral hypointense rim. Lesion localization, quantitative volumes (ADC, lesion volume) and the presence of a central vein were assessed. RESULTS Eighty-nine acute contrast-enhancing lesions in 54 MS patients were included. On follow-up, 16/89 (18%) initially CELs converted into IRLs. CELs that converted into IRLs were larger and demonstrated significantly more often a ring-like contrast-enhancement pattern and a peripheral hypointense rim on ADC maps. Logistic regression model including the covariables pattern of contrast-enhancement and presence of a hypointense rim on ADC maps showed the best predictive performance (area under the curve = 0.932). DISCUSSION The combination of a ring-like contrast-enhancement pattern and a peripheral hypointense rim on ADC maps has the ability to predict the evolution from acute to IRLs. This could be of prognostic value and become a target for early therapeutic intervention to minimize the associated tissue damage.
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Affiliation(s)
- Nicolas Wenzel
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Matthias Wittayer
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Claudia E Weber
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
| | - Lucas Schirmer
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.,Institute for Innate Immunoscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Michael Platten
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.,DKTK CCU Neuroimmunology and Brain Tumor Immunology, DKFZ, Heidelberg, Germany
| | - Achim Gass
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
| | - Philipp Eisele
- Department of Neurology, Medical Faculty Mannheim and Mannheim Center of Translational Neurosciences (MCTN), Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany
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